In this study, we develop a computational model to identify the face of an unknown
person’s by applying eigenfaces. The eigenfaces has been applied to extract the basic face of the
human face images. The eigenfaces is then projecting onto human faces to identify unique features
vectors. This significant features vector can be used to identify an unknown face by using the
backpropagation neural network that utilized euclidean distance for classification and recognition. The
ORL database for this investigation consists of 40 people with various 400 face images had been used
for the learning. The eigenfaces including implemented Jacobi’s method for eigenvalues and
eigenvectors has been performed. The classification and recognition using backpropagation neural
network showed impressive positive result to classify face images.